FakeNewsDetector
所属分类：内容生成
开发工具：Jupyter Notebook
文件大小：43325KB
下载次数：0
上传日期：2020-09-02 01:16:25
上 传 者：
sh-1993
说明： 实现了双向神经网络和基于LSTM的深度学习模型，用于从给定的新闻中心检测假新闻...
(Implemented Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus.)
文件列表:
Fake.csv (62789876, 2020-09-02)
True.csv (53582940, 2020-09-02)
fakenewsdetectionkaggle.ipynb (2801408, 2020-09-02)
# FakeNewsDetector
Description
* This dataset consists of about 40000 articles consisting of fake as well as real news. The objective of this project is to correctly predict whether a given piece of news is real or fake.The fake and real news data is given in two separate datasets with each dataset consisting around 20000 articles each.
Approach
* Performed Exploratory Data Analysis and text data cleaning to remove punctuations and stopwords.
* Perform tokenizing and padding on text corpus to feed the deep learning model.
* Implemented Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus.
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